Head to head · Assistants reached by message · October 2026 research run

Boba vs Orchid

Orchid scores 20.2 (F) on agent readiness against Boba's 10.3 (F), and leads in 4 of 7 scored categories. Boba leads on payments & pricing. Both do assistants reached by message.

Best AI personal assistants that act for one person · All 834 assistants comparisons

Which one, for what

Boba F

Best for Groups who want a free assistant inside a shared chat for planning, drafting and images.

Ahead on

  • Payments & pricing, 30 against 10

Also in its favour

  • Free to start without a card

Watch for

No API, MCP server or A2A endpoint for an outside agent.

Orchid F

Best for A founder or operator who wants Gmail and calendar triage by text with approval before anything leaves.

Ahead on

  • Reliability, 50 against 15
  • Schema & documentation, 10 against 0
  • Maintenance & community, 24 against 2
  • Transparency & trust, 60 against 39

Watch for

No API, MCP server or A2A endpoint for an outside agent.

Score by category

CategoryWeight this runBobaOrchidEdge
Reliability16%201550Orchid +35
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2010Orchid +10
Agent ergonomics13%16.200even
Security & auth14%17.500even
Payments & pricing10%12.53010Boba +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8224Orchid +22
Transparency & trust7%8.83960Orchid +21
Negative events≤1500
TotalF 10.3/100F 20.2/100

Facts side by side

FactBobaOrchid
KindPlatformPlatform
Vendorhumans& ai, inc.Zero Email, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingFreePaid
x402nono
LicenceClosed service under Boba's Terms of Service (humans& ai, inc., last updated 5 October 2026).Closed service under Orchid's Terms of Service (Zero Email, Inc., last updated 16 January 2026).
Read-only variant documentednono
llms.txtnoyes
Terms last updated
Privacy policy last updated
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver

Verdicts

Boba

Boba is a free texting assistant for one-to-one and group chats over iMessage, RCS and SMS, started by sending one message with no card or app. No outside agent can call it, its privacy notice uses inputs and outputs to train its models with no opt-out found, and no status page or security contact was found.

Orchid

Orchid is a paid executive assistant over iMessage, SMS and Telegram that holds drafts and calendar holds until the owner approves, with a public status page and a named subprocessor list. No outside agent can call it, there's no free tier, and its privacy policy allows training a personal model while its blog says it never trains.

Before you call either

Boba

  1. Don't plan to call Boba from another agent. It answers only text messages in the Messages app.
  2. Tell people in a group chat that messages sent to Boba may be used to train its models.

Orchid

  1. Don't plan to call Orchid from another agent. It answers only the owner's iMessage, SMS and Telegram threads.
  2. Check status.orchid.ai before telling the owner Orchid is down. The 7 August incident moved it to a new number.
  3. Tell the owner that drafts and holds wait for their approval unless they widen it.

Questions

Which is better for AI agents, Boba or Orchid?

Orchid scores 20.2 (F) on agent readiness against Boba's 10.3 (F), and leads in 4 of 7 scored categories. Boba leads on payments & pricing.

Other comparisons with Boba or Orchid

Disclosure

Boba competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

Orchid competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

Machine-readable

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